Study on the prediction of patent hiding company using patent information analysis

Youngho Kim; Junseok Lee; Jiho Kang; Sangsung Park; Sunghae Jun; Dongsik Jang

doi:10.1145/3357419.3357447

Study on the prediction of patent hiding company using patent information analysis

Youngho Kim, Junseok Lee, Jiho Kang, Sangsung Park, Sunghae Jun, Dongsik Jang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Establishment of an effective R&D strategy can be achieved through Prior art search. Prior art search is aimed at identifying major applicants in a specific technology field and is mainly carried out using patents. However, some companies hide their patents as M&A or other companies with most shares in order to avoid exposure. It is difficult to identify the actual owners of patents of such patent hiding companies. Thus, patent hiding companies hinder successful prior art search. To solve this problem, this paper proposes a model for predicting patent hiding companies by using text information and quantitative indicators of patents. As experimental data, N screen technology patents registered in USPTO are used. As a result of the experiment, Cleversafe was found to be IBM's patent hiding company.

Original language	English
Title of host publication	ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management
Publisher	Association for Computing Machinery
Pages	123-126
Number of pages	4
ISBN (Electronic)	9781450371889
DOIs	https://doi.org/10.1145/3357419.3357447
Publication status	Published - 2019 Aug 23
Event	9th International Conference on Information Communication and Management, ICICM 2019 - Prague, Czech Republic Duration: 2019 Aug 23 → 2019 Aug 26

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	9th International Conference on Information Communication and Management, ICICM 2019
Country/Territory	Czech Republic
City	Prague
Period	19/8/23 → 19/8/26

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A3B03031152). This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2017R1A2B1010208). This work was supported by the BK21 Plus (Big Data in Manufacturing and Logistics Systems, Korea University). This research was supported by the Commercialization Promotion Agency for R&D Outcomes(COMPA) funded by the Ministry of Science and ICT(MSIT).[2019K000305]

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

Latent Semantic Analysis
Patent Hiding Company
Patent Information Analysis
Prior Art Search

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3357419.3357447

Cite this

Kim, Y., Lee, J., Kang, J., Park, S., Jun, S., & Jang, D. (2019). Study on the prediction of patent hiding company using patent information analysis. In ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management (pp. 123-126). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3357419.3357447

Study on the prediction of patent hiding company using patent information analysis. / Kim, Youngho; Lee, Junseok; Kang, Jiho et al.
ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management. Association for Computing Machinery, 2019. p. 123-126 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, Y, Lee, J, Kang, J, Park, S, Jun, S & Jang, D 2019, Study on the prediction of patent hiding company using patent information analysis. in ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 123-126, 9th International Conference on Information Communication and Management, ICICM 2019, Prague, Czech Republic, 19/8/23. https://doi.org/10.1145/3357419.3357447

Kim Y, Lee J, Kang J, Park S, Jun S, Jang D. Study on the prediction of patent hiding company using patent information analysis. In ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management. Association for Computing Machinery. 2019. p. 123-126. (ACM International Conference Proceeding Series). doi: 10.1145/3357419.3357447

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abstract = "Establishment of an effective R&D strategy can be achieved through Prior art search. Prior art search is aimed at identifying major applicants in a specific technology field and is mainly carried out using patents. However, some companies hide their patents as M&A or other companies with most shares in order to avoid exposure. It is difficult to identify the actual owners of patents of such patent hiding companies. Thus, patent hiding companies hinder successful prior art search. To solve this problem, this paper proposes a model for predicting patent hiding companies by using text information and quantitative indicators of patents. As experimental data, N screen technology patents registered in USPTO are used. As a result of the experiment, Cleversafe was found to be IBM's patent hiding company.",

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N1 - Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A3B03031152). This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2017R1A2B1010208). This work was supported by the BK21 Plus (Big Data in Manufacturing and Logistics Systems, Korea University). This research was supported by the Commercialization Promotion Agency for R&D Outcomes(COMPA) funded by the Ministry of Science and ICT(MSIT).[2019K000305] Publisher Copyright: © 2019 Association for Computing Machinery.

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Study on the prediction of patent hiding company using patent information analysis

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this